Overview

Dataset statistics

Number of variables35
Number of observations2844
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory572.6 B

Variable types

Text3
Categorical3
Numeric29

Alerts

Assists is highly overall correlated with AssistsPer90 and 19 other fieldsHigh correlation
AssistsPer90 is highly overall correlated with Assists and 14 other fieldsHigh correlation
CrdY is highly overall correlated with ExpAssists and 9 other fieldsHigh correlation
ExpAssists is highly overall correlated with Assists and 23 other fieldsHigh correlation
ExpAssistsPer90 is highly overall correlated with Assists and 16 other fieldsHigh correlation
ExpGoals is highly overall correlated with Assists and 24 other fieldsHigh correlation
ExpGoalsAndAssistsPer90 is highly overall correlated with Assists and 18 other fieldsHigh correlation
ExpGoalsPer90 is highly overall correlated with ExpAssists and 15 other fieldsHigh correlation
Goals is highly overall correlated with Assists and 20 other fieldsHigh correlation
GoalsAndAssists is highly overall correlated with Assists and 23 other fieldsHigh correlation
GoalsAndAssistsPer90 is highly overall correlated with Assists and 18 other fieldsHigh correlation
GoalsPer90 is highly overall correlated with ExpAssists and 16 other fieldsHigh correlation
MP is highly overall correlated with Assists and 14 other fieldsHigh correlation
Min is highly overall correlated with Assists and 12 other fieldsHigh correlation
MinutesPer90 is highly overall correlated with Assists and 12 other fieldsHigh correlation
NPExpGoals is highly overall correlated with Assists and 24 other fieldsHigh correlation
NPExpGoalsAndAssists is highly overall correlated with Assists and 24 other fieldsHigh correlation
NPExpGoalsAndAssistsPer90 is highly overall correlated with Assists and 18 other fieldsHigh correlation
NPExpGoalsPer90 is highly overall correlated with ExpAssistsPer90 and 14 other fieldsHigh correlation
NPGoalsAndAssistsPer90 is highly overall correlated with Assists and 18 other fieldsHigh correlation
NPGoalsPer90 is highly overall correlated with ExpAssists and 15 other fieldsHigh correlation
NonPenaltyGoals is highly overall correlated with Assists and 19 other fieldsHigh correlation
PenaltiesAttempted is highly overall correlated with PenaltiesScoredHigh correlation
PenaltiesScored is highly overall correlated with PenaltiesAttemptedHigh correlation
PrgC is highly overall correlated with Assists and 22 other fieldsHigh correlation
PrgP is highly overall correlated with Assists and 14 other fieldsHigh correlation
PrgR is highly overall correlated with Assists and 23 other fieldsHigh correlation
Starts is highly overall correlated with Assists and 12 other fieldsHigh correlation
CrdR is highly imbalanced (73.3%)Imbalance
Starts has 358 (12.6%) zerosZeros
MinutesPer90 has 47 (1.7%) zerosZeros
Goals has 1489 (52.4%) zerosZeros
Assists has 1539 (54.1%) zerosZeros
GoalsAndAssists has 1142 (40.2%) zerosZeros
NonPenaltyGoals has 1510 (53.1%) zerosZeros
PenaltiesScored has 2651 (93.2%) zerosZeros
PenaltiesAttempted has 2613 (91.9%) zerosZeros
CrdY has 779 (27.4%) zerosZeros
ExpGoals has 638 (22.4%) zerosZeros
NPExpGoals has 641 (22.5%) zerosZeros
ExpAssists has 705 (24.8%) zerosZeros
NPExpGoalsAndAssists has 478 (16.8%) zerosZeros
PrgC has 479 (16.8%) zerosZeros
PrgP has 328 (11.5%) zerosZeros
PrgR has 436 (15.3%) zerosZeros
GoalsPer90 has 1489 (52.4%) zerosZeros
AssistsPer90 has 1539 (54.1%) zerosZeros
GoalsAndAssistsPer90 has 1142 (40.2%) zerosZeros
NPGoalsPer90 has 1510 (53.1%) zerosZeros
NPGoalsAndAssistsPer90 has 1148 (40.4%) zerosZeros
ExpGoalsPer90 has 554 (19.5%) zerosZeros
ExpAssistsPer90 has 642 (22.6%) zerosZeros
ExpGoalsAndAssistsPer90 has 422 (14.8%) zerosZeros
NPExpGoalsPer90 has 556 (19.5%) zerosZeros
NPExpGoalsAndAssistsPer90 has 423 (14.9%) zerosZeros

Reproduction

Analysis started2025-07-06 04:20:08.299008
Analysis finished2025-07-06 04:23:21.146107
Duration3 minutes and 12.85 seconds
Software versionydata-profiling vv4.6.3
Download configurationconfig.json

Variables

Player
Text

Distinct2692
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size222.0 KiB
2025-07-06T10:23:21.577621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length13.478551
Min length3

Characters and Unicode

Total characters38333
Distinct characters115
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2540 ?
Unique (%)89.3%

Sample

1st rowAaron Ciammaglichella
2nd rowAaron Cresswell
3rd rowAaron Malouda
4th rowAaron Ramsdale
5th rowAaron Wan-Bissaka
ValueCountFrequency (%)
david 22
 
0.4%
de 22
 
0.4%
lucas 20
 
0.3%
daniel 20
 
0.3%
kevin 17
 
0.3%
carlos 16
 
0.3%
james 15
 
0.3%
ben 14
 
0.2%
gabriel 14
 
0.2%
juan 14
 
0.2%
Other values (3722) 5571
97.0%
2025-07-06T10:23:22.466597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 4019
 
10.5%
e 2935
 
7.7%
2901
 
7.6%
i 2768
 
7.2%
o 2532
 
6.6%
n 2432
 
6.3%
r 2337
 
6.1%
l 1740
 
4.5%
s 1438
 
3.8%
u 1137
 
3.0%
Other values (105) 14094
36.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29538
77.1%
Uppercase Letter 5806
 
15.1%
Space Separator 2901
 
7.6%
Dash Punctuation 72
 
0.2%
Other Punctuation 15
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4019
13.6%
e 2935
9.9%
i 2768
 
9.4%
o 2532
 
8.6%
n 2432
 
8.2%
r 2337
 
7.9%
l 1740
 
5.9%
s 1438
 
4.9%
u 1137
 
3.8%
t 1048
 
3.5%
Other values (58) 7152
24.2%
Uppercase Letter
ValueCountFrequency (%)
M 614
 
10.6%
A 537
 
9.2%
S 414
 
7.1%
J 350
 
6.0%
B 342
 
5.9%
C 335
 
5.8%
D 332
 
5.7%
L 273
 
4.7%
R 263
 
4.5%
G 258
 
4.4%
Other values (32) 2088
36.0%
Other Punctuation
ValueCountFrequency (%)
' 14
93.3%
. 1
 
6.7%
Space Separator
ValueCountFrequency (%)
2901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35344
92.2%
Common 2989
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4019
 
11.4%
e 2935
 
8.3%
i 2768
 
7.8%
o 2532
 
7.2%
n 2432
 
6.9%
r 2337
 
6.6%
l 1740
 
4.9%
s 1438
 
4.1%
u 1137
 
3.2%
t 1048
 
3.0%
Other values (100) 12958
36.7%
Common
ValueCountFrequency (%)
2901
97.1%
- 72
 
2.4%
' 14
 
0.5%
. 1
 
< 0.1%
1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37557
98.0%
None 775
 
2.0%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 4019
 
10.7%
e 2935
 
7.8%
2901
 
7.7%
i 2768
 
7.4%
o 2532
 
6.7%
n 2432
 
6.5%
r 2337
 
6.2%
l 1740
 
4.6%
s 1438
 
3.8%
u 1137
 
3.0%
Other values (46) 13318
35.5%
None
ValueCountFrequency (%)
é 174
22.5%
á 99
12.8%
í 84
10.8%
ć 56
 
7.2%
ó 40
 
5.2%
ñ 29
 
3.7%
ú 25
 
3.2%
Á 24
 
3.1%
š 19
 
2.5%
ü 19
 
2.5%
Other values (48) 206
26.6%
Punctuation
ValueCountFrequency (%)
1
100.0%

Nation
Text

Distinct113
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size166.8 KiB
2025-07-06T10:23:22.827524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters8532
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.7%

Sample

1st rowITA
2nd rowENG
3rd rowFRA
4th rowENG
5th rowENG
ValueCountFrequency (%)
esp 415
 
14.6%
fra 346
 
12.2%
ger 230
 
8.1%
ita 227
 
8.0%
eng 223
 
7.8%
bra 89
 
3.1%
arg 77
 
2.7%
por 64
 
2.3%
ned 62
 
2.2%
den 56
 
2.0%
Other values (103) 1055
37.1%
2025-07-06T10:23:23.460701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 1185
13.9%
R 1093
12.8%
A 1016
11.9%
G 685
 
8.0%
S 656
 
7.7%
P 551
 
6.5%
N 536
 
6.3%
I 422
 
4.9%
F 359
 
4.2%
T 296
 
3.5%
Other values (16) 1733
20.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 8532
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 1185
13.9%
R 1093
12.8%
A 1016
11.9%
G 685
 
8.0%
S 656
 
7.7%
P 551
 
6.5%
N 536
 
6.3%
I 422
 
4.9%
F 359
 
4.2%
T 296
 
3.5%
Other values (16) 1733
20.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 8532
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 1185
13.9%
R 1093
12.8%
A 1016
11.9%
G 685
 
8.0%
S 656
 
7.7%
P 551
 
6.5%
N 536
 
6.3%
I 422
 
4.9%
F 359
 
4.2%
T 296
 
3.5%
Other values (16) 1733
20.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 1185
13.9%
R 1093
12.8%
A 1016
11.9%
G 685
 
8.0%
S 656
 
7.7%
P 551
 
6.5%
N 536
 
6.3%
I 422
 
4.9%
F 359
 
4.2%
T 296
 
3.5%
Other values (16) 1733
20.3%

Pos
Categorical

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size166.4 KiB
DF
857 
MF
586 
FW
369 
FW,MF
323 
MF,FW
229 
Other values (5)
480 

Length

Max length5
Median length2
Mean length2.8649789
Min length2

Characters and Unicode

Total characters8148
Distinct characters7
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMF
2nd rowDF
3rd rowFW
4th rowGK
5th rowDF

Common Values

ValueCountFrequency (%)
DF 857
30.1%
MF 586
20.6%
FW 369
13.0%
FW,MF 323
 
11.4%
MF,FW 229
 
8.1%
GK 212
 
7.5%
DF,MF 110
 
3.9%
MF,DF 81
 
2.8%
DF,FW 53
 
1.9%
FW,DF 24
 
0.8%

Length

2025-07-06T10:23:23.774929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-06T10:23:24.071773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
df 857
30.1%
mf 586
20.6%
fw 369
13.0%
fw,mf 323
 
11.4%
mf,fw 229
 
8.1%
gk 212
 
7.5%
df,mf 110
 
3.9%
mf,df 81
 
2.8%
df,fw 53
 
1.9%
fw,df 24
 
0.8%

Most occurring characters

ValueCountFrequency (%)
F 3452
42.4%
M 1329
 
16.3%
D 1125
 
13.8%
W 998
 
12.2%
, 820
 
10.1%
G 212
 
2.6%
K 212
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7328
89.9%
Other Punctuation 820
 
10.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 3452
47.1%
M 1329
 
18.1%
D 1125
 
15.4%
W 998
 
13.6%
G 212
 
2.9%
K 212
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 820
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7328
89.9%
Common 820
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 3452
47.1%
M 1329
 
18.1%
D 1125
 
15.4%
W 998
 
13.6%
G 212
 
2.9%
K 212
 
2.9%
Common
ValueCountFrequency (%)
, 820
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
F 3452
42.4%
M 1329
 
16.3%
D 1125
 
13.8%
W 998
 
12.2%
, 820
 
10.1%
G 212
 
2.6%
K 212
 
2.6%

Squad
Text

Distinct96
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size185.9 KiB
2025-07-06T10:23:24.534020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.4743319
Min length4

Characters and Unicode

Total characters24101
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTorino
2nd rowWest Ham
3rd rowLille
4th rowSouthampton
5th rowWest Ham
ValueCountFrequency (%)
real 61
 
1.7%
manchester 61
 
1.7%
city 59
 
1.6%
utd 55
 
1.5%
madrid 54
 
1.5%
como 38
 
1.1%
valladolid 38
 
1.1%
genoa 37
 
1.0%
southampton 36
 
1.0%
betis 36
 
1.0%
Other values (108) 3133
86.8%
2025-07-06T10:23:25.287526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2503
 
10.4%
a 2260
 
9.4%
n 1677
 
7.0%
l 1612
 
6.7%
i 1560
 
6.5%
o 1547
 
6.4%
t 1422
 
5.9%
r 1386
 
5.8%
s 1079
 
4.5%
764
 
3.2%
Other values (44) 8291
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19504
80.9%
Uppercase Letter 3672
 
15.2%
Space Separator 764
 
3.2%
Dash Punctuation 60
 
0.2%
Other Punctuation 51
 
0.2%
Decimal Number 50
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2503
12.8%
a 2260
11.6%
n 1677
8.6%
l 1612
8.3%
i 1560
8.0%
o 1547
7.9%
t 1422
 
7.3%
r 1386
 
7.1%
s 1079
 
5.5%
u 646
 
3.3%
Other values (15) 3812
19.5%
Uppercase Letter
ValueCountFrequency (%)
M 363
 
9.9%
B 349
 
9.5%
L 345
 
9.4%
A 257
 
7.0%
V 252
 
6.9%
S 247
 
6.7%
C 243
 
6.6%
R 213
 
5.8%
H 177
 
4.8%
P 151
 
4.1%
Other values (13) 1075
29.3%
Other Punctuation
ValueCountFrequency (%)
. 28
54.9%
' 23
45.1%
Decimal Number
ValueCountFrequency (%)
0 25
50.0%
5 25
50.0%
Space Separator
ValueCountFrequency (%)
764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23176
96.2%
Common 925
 
3.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2503
 
10.8%
a 2260
 
9.8%
n 1677
 
7.2%
l 1612
 
7.0%
i 1560
 
6.7%
o 1547
 
6.7%
t 1422
 
6.1%
r 1386
 
6.0%
s 1079
 
4.7%
u 646
 
2.8%
Other values (38) 7484
32.3%
Common
ValueCountFrequency (%)
764
82.6%
- 60
 
6.5%
. 28
 
3.0%
0 25
 
2.7%
5 25
 
2.7%
' 23
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23990
99.5%
None 111
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2503
 
10.4%
a 2260
 
9.4%
n 1677
 
7.0%
l 1612
 
6.7%
i 1560
 
6.5%
o 1547
 
6.4%
t 1422
 
5.9%
r 1386
 
5.8%
s 1079
 
4.5%
764
 
3.2%
Other values (42) 8180
34.1%
None
ValueCountFrequency (%)
é 79
71.2%
É 32
28.8%

Comp
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.2 KiB
Serie A
634 
La Liga
600 
Premier League
570 
Ligue 1
551 
Bundesliga
489 

Length

Max length14
Median length7
Mean length8.9187764
Min length7

Characters and Unicode

Total characters25365
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSerie A
2nd rowPremier League
3rd rowLigue 1
4th rowPremier League
5th rowPremier League

Common Values

ValueCountFrequency (%)
Serie A 634
22.3%
La Liga 600
21.1%
Premier League 570
20.0%
Ligue 1 551
19.4%
Bundesliga 489
17.2%

Length

2025-07-06T10:23:25.647582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-06T10:23:25.909468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
serie 634
12.2%
a 634
12.2%
la 600
11.5%
liga 600
11.5%
premier 570
11.0%
league 570
11.0%
ligue 551
10.6%
1 551
10.6%
bundesliga 489
9.4%

Most occurring characters

ValueCountFrequency (%)
e 4588
18.1%
i 2844
11.2%
2355
9.3%
L 2321
9.2%
a 2259
8.9%
g 2210
8.7%
r 1774
 
7.0%
u 1610
 
6.3%
S 634
 
2.5%
A 634
 
2.5%
Other values (8) 4136
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17811
70.2%
Uppercase Letter 4648
 
18.3%
Space Separator 2355
 
9.3%
Decimal Number 551
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4588
25.8%
i 2844
16.0%
a 2259
12.7%
g 2210
12.4%
r 1774
 
10.0%
u 1610
 
9.0%
m 570
 
3.2%
n 489
 
2.7%
d 489
 
2.7%
s 489
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
L 2321
49.9%
S 634
 
13.6%
A 634
 
13.6%
P 570
 
12.3%
B 489
 
10.5%
Space Separator
ValueCountFrequency (%)
2355
100.0%
Decimal Number
ValueCountFrequency (%)
1 551
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22459
88.5%
Common 2906
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4588
20.4%
i 2844
12.7%
L 2321
10.3%
a 2259
10.1%
g 2210
9.8%
r 1774
 
7.9%
u 1610
 
7.2%
S 634
 
2.8%
A 634
 
2.8%
P 570
 
2.5%
Other values (6) 3015
13.4%
Common
ValueCountFrequency (%)
2355
81.0%
1 551
 
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4588
18.1%
i 2844
11.2%
2355
9.3%
L 2321
9.2%
a 2259
8.9%
g 2210
8.7%
r 1774
 
7.0%
u 1610
 
6.3%
S 634
 
2.5%
A 634
 
2.5%
Other values (8) 4136
16.3%

Age
Real number (ℝ)

Distinct27
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.018987
Minimum15
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:26.207126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18
Q122
median25
Q328
95-th percentile33
Maximum41
Range26
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.4928902
Coefficient of variation (CV)0.17957922
Kurtosis-0.39231498
Mean25.018987
Median Absolute Deviation (MAD)3
Skewness0.31437034
Sum71154
Variance20.186062
MonotonicityNot monotonic
2025-07-06T10:23:26.513118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
24 249
 
8.8%
26 240
 
8.4%
23 219
 
7.7%
27 213
 
7.5%
22 211
 
7.4%
25 210
 
7.4%
21 192
 
6.8%
28 166
 
5.8%
20 166
 
5.8%
19 157
 
5.5%
Other values (17) 821
28.9%
ValueCountFrequency (%)
15 2
 
0.1%
16 20
 
0.7%
17 42
 
1.5%
18 113
4.0%
19 157
5.5%
20 166
5.8%
21 192
6.8%
22 211
7.4%
23 219
7.7%
24 249
8.8%
ValueCountFrequency (%)
41 1
 
< 0.1%
40 1
 
< 0.1%
39 3
 
0.1%
38 7
 
0.2%
37 8
 
0.3%
36 15
 
0.5%
35 21
 
0.7%
34 42
1.5%
33 60
2.1%
32 87
3.1%

MP
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.04993
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:26.805519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19
median20
Q330
95-th percentile36
Maximum38
Range37
Interquartile range (IQR)21

Descriptive statistics

Standard deviation11.491864
Coefficient of variation (CV)0.60324966
Kurtosis-1.3205836
Mean19.04993
Median Absolute Deviation (MAD)10
Skewness-0.1145293
Sum54178
Variance132.06293
MonotonicityNot monotonic
2025-07-06T10:23:27.119460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 188
 
6.6%
2 141
 
5.0%
30 114
 
4.0%
32 110
 
3.9%
31 101
 
3.6%
29 96
 
3.4%
34 94
 
3.3%
26 88
 
3.1%
33 87
 
3.1%
28 84
 
3.0%
Other values (28) 1741
61.2%
ValueCountFrequency (%)
1 188
6.6%
2 141
5.0%
3 64
 
2.3%
4 63
 
2.2%
5 55
 
1.9%
6 59
 
2.1%
7 56
 
2.0%
8 69
 
2.4%
9 56
 
2.0%
10 76
2.7%
ValueCountFrequency (%)
38 36
 
1.3%
37 53
1.9%
36 60
2.1%
35 64
2.3%
34 94
3.3%
33 87
3.1%
32 110
3.9%
31 101
3.6%
30 114
4.0%
29 96
3.4%

Starts
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.529536
Minimum0
Maximum38
Zeros358
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:27.443569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q323
95-th percentile33
Maximum38
Range38
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.316918
Coefficient of variation (CV)0.83646021
Kurtosis-1.1003046
Mean13.529536
Median Absolute Deviation (MAD)9
Skewness0.43915973
Sum38478
Variance128.07264
MonotonicityNot monotonic
2025-07-06T10:23:27.756509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 358
 
12.6%
1 182
 
6.4%
2 141
 
5.0%
3 111
 
3.9%
7 97
 
3.4%
4 89
 
3.1%
6 88
 
3.1%
12 85
 
3.0%
5 77
 
2.7%
11 75
 
2.6%
Other values (29) 1541
54.2%
ValueCountFrequency (%)
0 358
12.6%
1 182
6.4%
2 141
 
5.0%
3 111
 
3.9%
4 89
 
3.1%
5 77
 
2.7%
6 88
 
3.1%
7 97
 
3.4%
8 69
 
2.4%
9 68
 
2.4%
ValueCountFrequency (%)
38 19
 
0.7%
37 22
 
0.8%
36 20
 
0.7%
35 30
1.1%
34 47
1.7%
33 38
1.3%
32 47
1.7%
31 62
2.2%
30 58
2.0%
29 58
2.0%

Min
Real number (ℝ)

HIGH CORRELATION 

Distinct1699
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1214.3815
Minimum1
Maximum3420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:28.085146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q1320.75
median1055.5
Q31999.5
95-th percentile2918.85
Maximum3420
Range3419
Interquartile range (IQR)1678.75

Descriptive statistics

Standard deviation964.60589
Coefficient of variation (CV)0.79431866
Kurtosis-1.0248747
Mean1214.3815
Median Absolute Deviation (MAD)803
Skewness0.43676414
Sum3453701
Variance930464.53
MonotonicityNot monotonic
2025-07-06T10:23:28.422948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 24
 
0.8%
1 19
 
0.7%
180 19
 
0.7%
3060 16
 
0.6%
9 13
 
0.5%
3420 12
 
0.4%
5 12
 
0.4%
6 12
 
0.4%
7 12
 
0.4%
12 11
 
0.4%
Other values (1689) 2694
94.7%
ValueCountFrequency (%)
1 19
0.7%
2 10
0.4%
3 9
0.3%
4 9
0.3%
5 12
0.4%
6 12
0.4%
7 12
0.4%
8 10
0.4%
9 13
0.5%
10 8
0.3%
ValueCountFrequency (%)
3420 12
0.4%
3414 1
 
< 0.1%
3406 1
 
< 0.1%
3371 1
 
< 0.1%
3351 1
 
< 0.1%
3348 1
 
< 0.1%
3336 1
 
< 0.1%
3330 6
0.2%
3325 1
 
< 0.1%
3319 1
 
< 0.1%

MinutesPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct369
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.492475
Minimum0
Maximum38
Zeros47
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:28.754247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q13.6
median11.7
Q322.2
95-th percentile32.4
Maximum38
Range38
Interquartile range (IQR)18.6

Descriptive statistics

Standard deviation10.71805
Coefficient of variation (CV)0.79437237
Kurtosis-1.0248863
Mean13.492475
Median Absolute Deviation (MAD)8.9
Skewness0.43663472
Sum38372.6
Variance114.87659
MonotonicityNot monotonic
2025-07-06T10:23:29.099372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 93
 
3.3%
0.2 49
 
1.7%
0 47
 
1.7%
0.3 37
 
1.3%
1 36
 
1.3%
2 34
 
1.2%
0.5 28
 
1.0%
4 26
 
0.9%
3 22
 
0.8%
0.8 21
 
0.7%
Other values (359) 2451
86.2%
ValueCountFrequency (%)
0 47
1.7%
0.1 93
3.3%
0.2 49
1.7%
0.3 37
 
1.3%
0.4 21
 
0.7%
0.5 28
 
1.0%
0.6 15
 
0.5%
0.7 19
 
0.7%
0.8 21
 
0.7%
0.9 11
 
0.4%
ValueCountFrequency (%)
38 12
0.4%
37.9 1
 
< 0.1%
37.8 1
 
< 0.1%
37.5 1
 
< 0.1%
37.2 2
 
0.1%
37.1 1
 
< 0.1%
37 6
0.2%
36.9 2
 
0.1%
36.8 1
 
< 0.1%
36.6 1
 
< 0.1%

Goals
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6870605
Minimum0
Maximum31
Zeros1489
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:29.396208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum31
Range31
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1571282
Coefficient of variation (CV)1.8713782
Kurtosis16.51441
Mean1.6870605
Median Absolute Deviation (MAD)0
Skewness3.4686515
Sum4798
Variance9.9674583
MonotonicityNot monotonic
2025-07-06T10:23:29.679715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 1489
52.4%
1 476
 
16.7%
2 287
 
10.1%
3 177
 
6.2%
4 102
 
3.6%
5 66
 
2.3%
6 52
 
1.8%
7 32
 
1.1%
8 32
 
1.1%
10 29
 
1.0%
Other values (19) 102
 
3.6%
ValueCountFrequency (%)
0 1489
52.4%
1 476
 
16.7%
2 287
 
10.1%
3 177
 
6.2%
4 102
 
3.6%
5 66
 
2.3%
6 52
 
1.8%
7 32
 
1.1%
8 32
 
1.1%
9 25
 
0.9%
ValueCountFrequency (%)
31 1
 
< 0.1%
29 1
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 5
0.2%
20 3
0.1%
19 2
 
0.1%

Assists
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2035865
Minimum0
Maximum18
Zeros1539
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:29.938747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9477093
Coefficient of variation (CV)1.6182545
Kurtosis7.769871
Mean1.2035865
Median Absolute Deviation (MAD)0
Skewness2.4325968
Sum3423
Variance3.7935714
MonotonicityNot monotonic
2025-07-06T10:23:30.204343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1539
54.1%
1 528
 
18.6%
2 293
 
10.3%
3 171
 
6.0%
4 124
 
4.4%
6 51
 
1.8%
5 50
 
1.8%
7 32
 
1.1%
8 27
 
0.9%
9 10
 
0.4%
Other values (6) 19
 
0.7%
ValueCountFrequency (%)
0 1539
54.1%
1 528
 
18.6%
2 293
 
10.3%
3 171
 
6.0%
4 124
 
4.4%
5 50
 
1.8%
6 51
 
1.8%
7 32
 
1.1%
8 27
 
0.9%
9 10
 
0.4%
ValueCountFrequency (%)
18 1
 
< 0.1%
15 1
 
< 0.1%
13 1
 
< 0.1%
12 2
 
0.1%
11 4
 
0.1%
10 10
 
0.4%
9 10
 
0.4%
8 27
0.9%
7 32
1.1%
6 51
1.8%

GoalsAndAssists
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.890647
Minimum0
Maximum47
Zeros1142
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:30.486419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13
Maximum47
Range47
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.5356675
Coefficient of variation (CV)1.5690839
Kurtosis10.741683
Mean2.890647
Median Absolute Deviation (MAD)1
Skewness2.7685735
Sum8221
Variance20.57228
MonotonicityNot monotonic
2025-07-06T10:23:30.784159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 1142
40.2%
1 428
 
15.0%
2 292
 
10.3%
3 225
 
7.9%
4 169
 
5.9%
5 113
 
4.0%
6 79
 
2.8%
9 64
 
2.3%
7 62
 
2.2%
8 39
 
1.4%
Other values (23) 231
 
8.1%
ValueCountFrequency (%)
0 1142
40.2%
1 428
 
15.0%
2 292
 
10.3%
3 225
 
7.9%
4 169
 
5.9%
5 113
 
4.0%
6 79
 
2.8%
7 62
 
2.2%
8 39
 
1.4%
9 64
 
2.3%
ValueCountFrequency (%)
47 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
29 2
 
0.1%
27 4
0.1%
26 1
 
< 0.1%
25 3
0.1%
24 4
0.1%
23 5
0.2%

NonPenaltyGoals
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5443038
Minimum0
Maximum24
Zeros1510
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:31.051771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7907073
Coefficient of variation (CV)1.8070973
Kurtosis12.930567
Mean1.5443038
Median Absolute Deviation (MAD)0
Skewness3.1363654
Sum4392
Variance7.788047
MonotonicityNot monotonic
2025-07-06T10:23:31.333163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 1510
53.1%
1 483
 
17.0%
2 291
 
10.2%
3 165
 
5.8%
4 112
 
3.9%
5 62
 
2.2%
6 48
 
1.7%
8 37
 
1.3%
7 35
 
1.2%
10 25
 
0.9%
Other values (13) 76
 
2.7%
ValueCountFrequency (%)
0 1510
53.1%
1 483
 
17.0%
2 291
 
10.2%
3 165
 
5.8%
4 112
 
3.9%
5 62
 
2.2%
6 48
 
1.7%
7 35
 
1.2%
8 37
 
1.3%
9 20
 
0.7%
ValueCountFrequency (%)
24 2
 
0.1%
21 1
 
< 0.1%
20 3
 
0.1%
19 5
0.2%
18 1
 
< 0.1%
17 2
 
0.1%
16 3
 
0.1%
15 4
0.1%
14 8
0.3%
13 5
0.2%

PenaltiesScored
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14275668
Minimum0
Maximum9
Zeros2651
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:31.568360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.66837532
Coefficient of variation (CV)4.6819197
Kurtosis59.336644
Mean0.14275668
Median Absolute Deviation (MAD)0
Skewness6.8230943
Sum406
Variance0.44672557
MonotonicityNot monotonic
2025-07-06T10:23:31.803621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2651
93.2%
1 93
 
3.3%
2 47
 
1.7%
3 28
 
1.0%
4 10
 
0.4%
5 7
 
0.2%
8 2
 
0.1%
9 2
 
0.1%
6 2
 
0.1%
7 2
 
0.1%
ValueCountFrequency (%)
0 2651
93.2%
1 93
 
3.3%
2 47
 
1.7%
3 28
 
1.0%
4 10
 
0.4%
5 7
 
0.2%
6 2
 
0.1%
7 2
 
0.1%
8 2
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
9 2
 
0.1%
8 2
 
0.1%
7 2
 
0.1%
6 2
 
0.1%
5 7
 
0.2%
4 10
 
0.4%
3 28
 
1.0%
2 47
 
1.7%
1 93
 
3.3%
0 2651
93.2%

PenaltiesAttempted
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18073136
Minimum0
Maximum9
Zeros2613
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:32.037972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77761147
Coefficient of variation (CV)4.3025817
Kurtosis50.126797
Mean0.18073136
Median Absolute Deviation (MAD)0
Skewness6.2994284
Sum514
Variance0.60467959
MonotonicityNot monotonic
2025-07-06T10:23:32.274877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2613
91.9%
1 104
 
3.7%
2 60
 
2.1%
3 29
 
1.0%
4 20
 
0.7%
9 5
 
0.2%
6 5
 
0.2%
5 5
 
0.2%
8 2
 
0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 2613
91.9%
1 104
 
3.7%
2 60
 
2.1%
3 29
 
1.0%
4 20
 
0.7%
5 5
 
0.2%
6 5
 
0.2%
7 1
 
< 0.1%
8 2
 
0.1%
9 5
 
0.2%
ValueCountFrequency (%)
9 5
 
0.2%
8 2
 
0.1%
7 1
 
< 0.1%
6 5
 
0.2%
5 5
 
0.2%
4 20
 
0.7%
3 29
 
1.0%
2 60
 
2.1%
1 104
 
3.7%
0 2613
91.9%

CrdY
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5031646
Minimum0
Maximum15
Zeros779
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:32.516632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile8
Maximum15
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6056955
Coefficient of variation (CV)1.0409605
Kurtosis1.3745688
Mean2.5031646
Median Absolute Deviation (MAD)2
Skewness1.2545984
Sum7119
Variance6.7896488
MonotonicityNot monotonic
2025-07-06T10:23:32.783140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 779
27.4%
1 536
18.8%
2 411
14.5%
3 279
 
9.8%
4 266
 
9.4%
5 207
 
7.3%
6 121
 
4.3%
7 84
 
3.0%
8 61
 
2.1%
9 36
 
1.3%
Other values (6) 64
 
2.3%
ValueCountFrequency (%)
0 779
27.4%
1 536
18.8%
2 411
14.5%
3 279
 
9.8%
4 266
 
9.4%
5 207
 
7.3%
6 121
 
4.3%
7 84
 
3.0%
8 61
 
2.1%
9 36
 
1.3%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 1
 
< 0.1%
13 3
 
0.1%
12 10
 
0.4%
11 21
 
0.7%
10 28
 
1.0%
9 36
 
1.3%
8 61
2.1%
7 84
3.0%
6 121
4.3%

CrdR
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size161.2 KiB
0
2546 
1
270 
2
 
27
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2844
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2546
89.5%
1 270
 
9.5%
2 27
 
0.9%
3 1
 
< 0.1%

Length

2025-07-06T10:23:33.065212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-06T10:23:33.300295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2546
89.5%
1 270
 
9.5%
2 27
 
0.9%
3 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 2546
89.5%
1 270
 
9.5%
2 27
 
0.9%
3 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2844
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2546
89.5%
1 270
 
9.5%
2 27
 
0.9%
3 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2844
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2546
89.5%
1 270
 
9.5%
2 27
 
0.9%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2844
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2546
89.5%
1 270
 
9.5%
2 27
 
0.9%
3 1
 
< 0.1%

ExpGoals
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct146
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7103727
Minimum0
Maximum27.1
Zeros638
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:33.652384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.7
Q32.1
95-th percentile7.3
Maximum27.1
Range27.1
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8213861
Coefficient of variation (CV)1.6495738
Kurtosis16.226335
Mean1.7103727
Median Absolute Deviation (MAD)0.7
Skewness3.4236809
Sum4864.3
Variance7.9602195
MonotonicityNot monotonic
2025-07-06T10:23:33.997337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 638
22.4%
0.1 195
 
6.9%
0.2 145
 
5.1%
0.3 129
 
4.5%
0.4 110
 
3.9%
0.5 95
 
3.3%
0.6 91
 
3.2%
0.8 83
 
2.9%
0.9 78
 
2.7%
0.7 78
 
2.7%
Other values (136) 1202
42.3%
ValueCountFrequency (%)
0 638
22.4%
0.1 195
 
6.9%
0.2 145
 
5.1%
0.3 129
 
4.5%
0.4 110
 
3.9%
0.5 95
 
3.3%
0.6 91
 
3.2%
0.7 78
 
2.7%
0.8 83
 
2.9%
0.9 78
 
2.7%
ValueCountFrequency (%)
27.1 1
< 0.1%
25.9 1
< 0.1%
25.2 1
< 0.1%
22.7 1
< 0.1%
22 1
< 0.1%
21.6 1
< 0.1%
20.3 2
0.1%
19.4 1
< 0.1%
19.2 1
< 0.1%
18.9 1
< 0.1%

NPExpGoals
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct128
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5672996
Minimum0
Maximum24
Zeros641
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:34.326551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.7
Q32
95-th percentile6.6
Maximum24
Range24
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation2.4620795
Coefficient of variation (CV)1.5709055
Kurtosis13.840321
Mean1.5672996
Median Absolute Deviation (MAD)0.7
Skewness3.1632051
Sum4457.4
Variance6.0618357
MonotonicityNot monotonic
2025-07-06T10:23:34.655506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 641
22.5%
0.1 194
 
6.8%
0.2 147
 
5.2%
0.3 129
 
4.5%
0.4 113
 
4.0%
0.5 98
 
3.4%
0.6 96
 
3.4%
0.8 84
 
3.0%
0.9 82
 
2.9%
0.7 80
 
2.8%
Other values (118) 1180
41.5%
ValueCountFrequency (%)
0 641
22.5%
0.1 194
 
6.8%
0.2 147
 
5.2%
0.3 129
 
4.5%
0.4 113
 
4.0%
0.5 98
 
3.4%
0.6 96
 
3.4%
0.7 80
 
2.8%
0.8 84
 
3.0%
0.9 82
 
2.9%
ValueCountFrequency (%)
24 1
< 0.1%
19.6 1
< 0.1%
19.3 1
< 0.1%
18.8 1
< 0.1%
18.6 1
< 0.1%
18.5 1
< 0.1%
18.2 1
< 0.1%
17.9 1
< 0.1%
17.6 1
< 0.1%
17.2 1
< 0.1%

ExpAssists
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct92
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2180731
Minimum0
Maximum14.2
Zeros705
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:34.971626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.6
Q31.6
95-th percentile4.7
Maximum14.2
Range14.2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.6885194
Coefficient of variation (CV)1.3862217
Kurtosis7.6587088
Mean1.2180731
Median Absolute Deviation (MAD)0.6
Skewness2.3627984
Sum3464.2
Variance2.8510978
MonotonicityNot monotonic
2025-07-06T10:23:35.299718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 705
24.8%
0.1 230
 
8.1%
0.2 158
 
5.6%
0.3 114
 
4.0%
0.4 103
 
3.6%
0.6 97
 
3.4%
0.7 84
 
3.0%
0.5 82
 
2.9%
0.9 81
 
2.8%
1 74
 
2.6%
Other values (82) 1116
39.2%
ValueCountFrequency (%)
0 705
24.8%
0.1 230
 
8.1%
0.2 158
 
5.6%
0.3 114
 
4.0%
0.4 103
 
3.6%
0.5 82
 
2.9%
0.6 97
 
3.4%
0.7 84
 
3.0%
0.8 73
 
2.6%
0.9 81
 
2.8%
ValueCountFrequency (%)
14.2 1
 
< 0.1%
13.9 1
 
< 0.1%
12.7 1
 
< 0.1%
12 1
 
< 0.1%
11.7 1
 
< 0.1%
11.1 1
 
< 0.1%
10.9 1
 
< 0.1%
10.1 1
 
< 0.1%
8.9 2
0.1%
8.5 4
0.1%

NPExpGoalsAndAssists
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct182
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7870253
Minimum0
Maximum32.4
Zeros478
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:35.628658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median1.4
Q33.8
95-th percentile10.5
Maximum32.4
Range32.4
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation3.7488341
Coefficient of variation (CV)1.3451023
Kurtosis8.3033326
Mean2.7870253
Median Absolute Deviation (MAD)1.4
Skewness2.4613948
Sum7926.3
Variance14.053757
MonotonicityNot monotonic
2025-07-06T10:23:35.958658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 478
 
16.8%
0.1 165
 
5.8%
0.2 90
 
3.2%
0.4 83
 
2.9%
0.3 73
 
2.6%
0.7 68
 
2.4%
0.5 64
 
2.3%
0.8 60
 
2.1%
1 55
 
1.9%
1.1 55
 
1.9%
Other values (172) 1653
58.1%
ValueCountFrequency (%)
0 478
16.8%
0.1 165
 
5.8%
0.2 90
 
3.2%
0.3 73
 
2.6%
0.4 83
 
2.9%
0.5 64
 
2.3%
0.6 50
 
1.8%
0.7 68
 
2.4%
0.8 60
 
2.1%
0.9 52
 
1.8%
ValueCountFrequency (%)
32.4 1
< 0.1%
30.3 1
< 0.1%
26.3 2
0.1%
26 1
< 0.1%
24.2 1
< 0.1%
24 1
< 0.1%
23.8 1
< 0.1%
23.5 2
0.1%
21.8 1
< 0.1%
21.7 1
< 0.1%

PrgC
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct145
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.78481
Minimum0
Maximum213
Zeros479
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:36.291925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q329
95-th percentile76
Maximum213
Range213
Interquartile range (IQR)27

Descriptive statistics

Standard deviation26.662943
Coefficient of variation (CV)1.2828091
Kurtosis5.5988104
Mean20.78481
Median Absolute Deviation (MAD)11
Skewness2.1387079
Sum59112
Variance710.91252
MonotonicityNot monotonic
2025-07-06T10:23:36.605991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 479
 
16.8%
1 171
 
6.0%
2 125
 
4.4%
3 114
 
4.0%
4 90
 
3.2%
5 85
 
3.0%
8 71
 
2.5%
6 69
 
2.4%
7 64
 
2.3%
11 62
 
2.2%
Other values (135) 1514
53.2%
ValueCountFrequency (%)
0 479
16.8%
1 171
 
6.0%
2 125
 
4.4%
3 114
 
4.0%
4 90
 
3.2%
5 85
 
3.0%
6 69
 
2.4%
7 64
 
2.3%
8 71
 
2.5%
9 54
 
1.9%
ValueCountFrequency (%)
213 1
< 0.1%
181 1
< 0.1%
169 1
< 0.1%
154 2
0.1%
150 1
< 0.1%
147 1
< 0.1%
146 1
< 0.1%
144 1
< 0.1%
143 1
< 0.1%
142 1
< 0.1%

PrgP
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct223
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.310127
Minimum0
Maximum362
Zeros328
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:36.921877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median29
Q369
95-th percentile142
Maximum362
Range362
Interquartile range (IQR)64

Descriptive statistics

Standard deviation50.151015
Coefficient of variation (CV)1.106839
Kurtosis3.6469936
Mean45.310127
Median Absolute Deviation (MAD)27
Skewness1.6460402
Sum128862
Variance2515.1243
MonotonicityNot monotonic
2025-07-06T10:23:37.252853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 328
 
11.5%
1 151
 
5.3%
2 72
 
2.5%
3 60
 
2.1%
4 60
 
2.1%
7 57
 
2.0%
6 45
 
1.6%
5 43
 
1.5%
8 42
 
1.5%
16 40
 
1.4%
Other values (213) 1946
68.4%
ValueCountFrequency (%)
0 328
11.5%
1 151
5.3%
2 72
 
2.5%
3 60
 
2.1%
4 60
 
2.1%
5 43
 
1.5%
6 45
 
1.6%
7 57
 
2.0%
8 42
 
1.5%
9 32
 
1.1%
ValueCountFrequency (%)
362 1
< 0.1%
360 1
< 0.1%
325 1
< 0.1%
318 1
< 0.1%
316 1
< 0.1%
294 1
< 0.1%
289 1
< 0.1%
279 1
< 0.1%
272 1
< 0.1%
271 1
< 0.1%

PrgR
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct258
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.90225
Minimum0
Maximum488
Zeros436
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:37.602183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q366.25
95-th percentile169.85
Maximum488
Range488
Interquartile range (IQR)63.25

Descriptive statistics

Standard deviation59.886635
Coefficient of variation (CV)1.3337112
Kurtosis5.1753397
Mean44.90225
Median Absolute Deviation (MAD)20
Skewness2.0312005
Sum127702
Variance3586.409
MonotonicityNot monotonic
2025-07-06T10:23:37.932142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436
 
15.3%
1 143
 
5.0%
2 119
 
4.2%
3 97
 
3.4%
5 73
 
2.6%
4 70
 
2.5%
7 54
 
1.9%
6 47
 
1.7%
8 44
 
1.5%
9 41
 
1.4%
Other values (248) 1720
60.5%
ValueCountFrequency (%)
0 436
15.3%
1 143
 
5.0%
2 119
 
4.2%
3 97
 
3.4%
4 70
 
2.5%
5 73
 
2.6%
6 47
 
1.7%
7 54
 
1.9%
8 44
 
1.5%
9 41
 
1.4%
ValueCountFrequency (%)
488 1
< 0.1%
433 1
< 0.1%
386 1
< 0.1%
381 1
< 0.1%
374 1
< 0.1%
351 1
< 0.1%
349 1
< 0.1%
316 1
< 0.1%
309 1
< 0.1%
302 1
< 0.1%

GoalsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct111
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11207454
Minimum0
Maximum2.43
Zeros1489
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:38.261065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.16
95-th percentile0.48
Maximum2.43
Range2.43
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.19642349
Coefficient of variation (CV)1.7526147
Kurtosis18.487484
Mean0.11207454
Median Absolute Deviation (MAD)0
Skewness3.3341899
Sum318.74
Variance0.038582188
MonotonicityNot monotonic
2025-07-06T10:23:38.598892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1489
52.4%
0.04 68
 
2.4%
0.06 67
 
2.4%
0.07 59
 
2.1%
0.03 55
 
1.9%
0.09 53
 
1.9%
0.08 52
 
1.8%
0.05 51
 
1.8%
0.1 44
 
1.5%
0.12 43
 
1.5%
Other values (101) 863
30.3%
ValueCountFrequency (%)
0 1489
52.4%
0.03 55
 
1.9%
0.04 68
 
2.4%
0.05 51
 
1.8%
0.06 67
 
2.4%
0.07 59
 
2.1%
0.08 52
 
1.8%
0.09 53
 
1.9%
0.1 44
 
1.5%
0.11 42
 
1.5%
ValueCountFrequency (%)
2.43 1
< 0.1%
2 1
< 0.1%
1.64 1
< 0.1%
1.55 1
< 0.1%
1.5 1
< 0.1%
1.45 1
< 0.1%
1.43 1
< 0.1%
1.27 1
< 0.1%
1.23 1
< 0.1%
1.15 2
0.1%

AssistsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct71
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.076916315
Minimum0
Maximum2.65
Zeros1539
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:38.935730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.3
Maximum2.65
Range2.65
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.13675946
Coefficient of variation (CV)1.7780293
Kurtosis68.248413
Mean0.076916315
Median Absolute Deviation (MAD)0
Skewness5.5667231
Sum218.75
Variance0.01870315
MonotonicityNot monotonic
2025-07-06T10:23:39.279778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1539
54.1%
0.09 79
 
2.8%
0.04 73
 
2.6%
0.08 71
 
2.5%
0.07 68
 
2.4%
0.06 63
 
2.2%
0.1 63
 
2.2%
0.03 56
 
2.0%
0.11 55
 
1.9%
0.05 53
 
1.9%
Other values (61) 724
25.5%
ValueCountFrequency (%)
0 1539
54.1%
0.03 56
 
2.0%
0.04 73
 
2.6%
0.05 53
 
1.9%
0.06 63
 
2.2%
0.07 68
 
2.4%
0.08 71
 
2.5%
0.09 79
 
2.8%
0.1 63
 
2.2%
0.11 55
 
1.9%
ValueCountFrequency (%)
2.65 1
< 0.1%
1.87 1
< 0.1%
1.61 1
< 0.1%
1.41 1
< 0.1%
1.36 1
< 0.1%
1.01 1
< 0.1%
1 1
< 0.1%
0.78 1
< 0.1%
0.75 1
< 0.1%
0.73 1
< 0.1%

GoalsAndAssistsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct130
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18901195
Minimum0
Maximum2.65
Zeros1142
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:39.608794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.08
Q30.29
95-th percentile0.7
Maximum2.65
Range2.65
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.26467437
Coefficient of variation (CV)1.4003049
Kurtosis9.4786722
Mean0.18901195
Median Absolute Deviation (MAD)0.08
Skewness2.3936248
Sum537.55
Variance0.070052523
MonotonicityNot monotonic
2025-07-06T10:23:39.954682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1142
40.2%
0.06 53
 
1.9%
0.15 53
 
1.9%
0.04 52
 
1.8%
0.1 52
 
1.8%
0.08 52
 
1.8%
0.09 48
 
1.7%
0.05 46
 
1.6%
0.23 45
 
1.6%
0.07 44
 
1.5%
Other values (120) 1257
44.2%
ValueCountFrequency (%)
0 1142
40.2%
0.03 37
 
1.3%
0.04 52
 
1.8%
0.05 46
 
1.6%
0.06 53
 
1.9%
0.07 44
 
1.5%
0.08 52
 
1.8%
0.09 48
 
1.7%
0.1 52
 
1.8%
0.11 31
 
1.1%
ValueCountFrequency (%)
2.65 1
< 0.1%
2.43 1
< 0.1%
2.05 1
< 0.1%
2 1
< 0.1%
1.87 1
< 0.1%
1.64 1
< 0.1%
1.61 1
< 0.1%
1.55 1
< 0.1%
1.5 1
< 0.1%
1.49 1
< 0.1%

NPGoalsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct99
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10447257
Minimum0
Maximum2.43
Zeros1510
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:40.286564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.15
95-th percentile0.45
Maximum2.43
Range2.43
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.18662761
Coefficient of variation (CV)1.786379
Kurtosis22.411165
Mean0.10447257
Median Absolute Deviation (MAD)0
Skewness3.6217453
Sum297.12
Variance0.034829866
MonotonicityNot monotonic
2025-07-06T10:23:40.625057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1510
53.1%
0.06 70
 
2.5%
0.04 68
 
2.4%
0.07 59
 
2.1%
0.03 56
 
2.0%
0.08 55
 
1.9%
0.09 53
 
1.9%
0.05 51
 
1.8%
0.1 50
 
1.8%
0.13 43
 
1.5%
Other values (89) 829
29.1%
ValueCountFrequency (%)
0 1510
53.1%
0.03 56
 
2.0%
0.04 68
 
2.4%
0.05 51
 
1.8%
0.06 70
 
2.5%
0.07 59
 
2.1%
0.08 55
 
1.9%
0.09 53
 
1.9%
0.1 50
 
1.8%
0.11 42
 
1.5%
ValueCountFrequency (%)
2.43 1
< 0.1%
2 1
< 0.1%
1.64 1
< 0.1%
1.55 1
< 0.1%
1.5 1
< 0.1%
1.45 1
< 0.1%
1.43 1
< 0.1%
1.27 1
< 0.1%
1.23 1
< 0.1%
1.15 1
< 0.1%

NPGoalsAndAssistsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct127
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18140999
Minimum0
Maximum2.65
Zeros1148
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:40.971303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.08
Q30.28
95-th percentile0.66
Maximum2.65
Range2.65
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.25373707
Coefficient of variation (CV)1.398694
Kurtosis10.292367
Mean0.18140999
Median Absolute Deviation (MAD)0.08
Skewness2.4483886
Sum515.93
Variance0.064382499
MonotonicityNot monotonic
2025-07-06T10:23:41.315018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1148
40.4%
0.04 54
 
1.9%
0.15 54
 
1.9%
0.1 54
 
1.9%
0.06 53
 
1.9%
0.08 53
 
1.9%
0.09 49
 
1.7%
0.23 46
 
1.6%
0.05 46
 
1.6%
0.12 44
 
1.5%
Other values (117) 1243
43.7%
ValueCountFrequency (%)
0 1148
40.4%
0.03 37
 
1.3%
0.04 54
 
1.9%
0.05 46
 
1.6%
0.06 53
 
1.9%
0.07 43
 
1.5%
0.08 53
 
1.9%
0.09 49
 
1.7%
0.1 54
 
1.9%
0.11 33
 
1.2%
ValueCountFrequency (%)
2.65 1
< 0.1%
2.43 1
< 0.1%
2 1
< 0.1%
1.87 1
< 0.1%
1.64 1
< 0.1%
1.61 1
< 0.1%
1.55 1
< 0.1%
1.5 1
< 0.1%
1.45 1
< 0.1%
1.43 2
0.1%

ExpGoalsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct108
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13566807
Minimum0
Maximum5.06
Zeros554
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:41.637716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.06
Q30.18
95-th percentile0.4985
Maximum5.06
Range5.06
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.21821763
Coefficient of variation (CV)1.6084671
Kurtosis120.4264
Mean0.13566807
Median Absolute Deviation (MAD)0.06
Skewness7.3574979
Sum385.84
Variance0.047618934
MonotonicityNot monotonic
2025-07-06T10:23:41.983030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 554
19.5%
0.03 170
 
6.0%
0.01 164
 
5.8%
0.04 154
 
5.4%
0.02 144
 
5.1%
0.05 142
 
5.0%
0.07 115
 
4.0%
0.06 115
 
4.0%
0.08 86
 
3.0%
0.09 77
 
2.7%
Other values (98) 1123
39.5%
ValueCountFrequency (%)
0 554
19.5%
0.01 164
 
5.8%
0.02 144
 
5.1%
0.03 170
 
6.0%
0.04 154
 
5.4%
0.05 142
 
5.0%
0.06 115
 
4.0%
0.07 115
 
4.0%
0.08 86
 
3.0%
0.09 77
 
2.7%
ValueCountFrequency (%)
5.06 1
< 0.1%
3.53 1
< 0.1%
2.37 1
< 0.1%
1.96 1
< 0.1%
1.83 1
< 0.1%
1.44 1
< 0.1%
1.29 1
< 0.1%
1.24 1
< 0.1%
1.23 1
< 0.1%
1.21 1
< 0.1%

ExpAssistsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct72
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08887834
Minimum0
Maximum2.47
Zeros642
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:42.308678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.06
Q30.13
95-th percentile0.27
Maximum2.47
Range2.47
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.12462836
Coefficient of variation (CV)1.4022354
Kurtosis76.61588
Mean0.08887834
Median Absolute Deviation (MAD)0.06
Skewness6.033881
Sum252.77
Variance0.015532227
MonotonicityNot monotonic
2025-07-06T10:23:42.659558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 642
22.6%
0.01 202
 
7.1%
0.02 170
 
6.0%
0.03 154
 
5.4%
0.06 135
 
4.7%
0.05 118
 
4.1%
0.07 111
 
3.9%
0.08 110
 
3.9%
0.04 107
 
3.8%
0.1 107
 
3.8%
Other values (62) 988
34.7%
ValueCountFrequency (%)
0 642
22.6%
0.01 202
 
7.1%
0.02 170
 
6.0%
0.03 154
 
5.4%
0.04 107
 
3.8%
0.05 118
 
4.1%
0.06 135
 
4.7%
0.07 111
 
3.9%
0.08 110
 
3.9%
0.09 105
 
3.7%
ValueCountFrequency (%)
2.47 1
< 0.1%
1.65 1
< 0.1%
1.56 1
< 0.1%
1.45 1
< 0.1%
1.43 1
< 0.1%
1.27 1
< 0.1%
0.86 1
< 0.1%
0.85 1
< 0.1%
0.83 1
< 0.1%
0.76 1
< 0.1%

ExpGoalsAndAssistsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct128
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22436709
Minimum0
Maximum5.06
Zeros422
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:42.996701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.14
Q30.33
95-th percentile0.69
Maximum5.06
Range5.06
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.27273137
Coefficient of variation (CV)1.2155587
Kurtosis50.456324
Mean0.22436709
Median Absolute Deviation (MAD)0.12
Skewness4.5140973
Sum638.1
Variance0.074382399
MonotonicityNot monotonic
2025-07-06T10:23:43.330304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 422
 
14.8%
0.08 92
 
3.2%
0.06 92
 
3.2%
0.04 86
 
3.0%
0.05 85
 
3.0%
0.07 82
 
2.9%
0.03 78
 
2.7%
0.12 75
 
2.6%
0.09 71
 
2.5%
0.1 65
 
2.3%
Other values (118) 1696
59.6%
ValueCountFrequency (%)
0 422
14.8%
0.01 62
 
2.2%
0.02 62
 
2.2%
0.03 78
 
2.7%
0.04 86
 
3.0%
0.05 85
 
3.0%
0.06 92
 
3.2%
0.07 82
 
2.9%
0.08 92
 
3.2%
0.09 71
 
2.5%
ValueCountFrequency (%)
5.06 1
< 0.1%
3.53 1
< 0.1%
2.72 1
< 0.1%
2.37 1
< 0.1%
2.35 2
0.1%
2.17 1
< 0.1%
1.83 1
< 0.1%
1.48 1
< 0.1%
1.47 1
< 0.1%
1.45 1
< 0.1%

NPExpGoalsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct102
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12776723
Minimum0
Maximum5.06
Zeros556
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:43.659241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.06
Q30.17
95-th percentile0.45
Maximum5.06
Range5.06
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.20953118
Coefficient of variation (CV)1.6399446
Kurtosis142.57219
Mean0.12776723
Median Absolute Deviation (MAD)0.06
Skewness8.1715333
Sum363.37
Variance0.043903314
MonotonicityNot monotonic
2025-07-06T10:23:43.996356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556
19.5%
0.03 177
 
6.2%
0.01 165
 
5.8%
0.04 156
 
5.5%
0.02 147
 
5.2%
0.05 146
 
5.1%
0.07 122
 
4.3%
0.06 113
 
4.0%
0.08 88
 
3.1%
0.09 79
 
2.8%
Other values (92) 1095
38.5%
ValueCountFrequency (%)
0 556
19.5%
0.01 165
 
5.8%
0.02 147
 
5.2%
0.03 177
 
6.2%
0.04 156
 
5.5%
0.05 146
 
5.1%
0.06 113
 
4.0%
0.07 122
 
4.3%
0.08 88
 
3.1%
0.09 79
 
2.8%
ValueCountFrequency (%)
5.06 1
< 0.1%
3.53 1
< 0.1%
2.37 1
< 0.1%
1.96 1
< 0.1%
1.83 1
< 0.1%
1.44 1
< 0.1%
1.29 1
< 0.1%
1.24 1
< 0.1%
1.23 1
< 0.1%
1.21 1
< 0.1%

NPExpGoalsAndAssistsPer90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct126
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2165225
Minimum0
Maximum5.06
Zeros423
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2025-07-06T10:23:44.324783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0475
median0.14
Q30.32
95-th percentile0.65
Maximum5.06
Range5.06
Interquartile range (IQR)0.2725

Descriptive statistics

Standard deviation0.26368843
Coefficient of variation (CV)1.2178338
Kurtosis58.122899
Mean0.2165225
Median Absolute Deviation (MAD)0.12
Skewness4.8852465
Sum615.79
Variance0.069531589
MonotonicityNot monotonic
2025-07-06T10:23:44.669370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 423
 
14.9%
0.06 93
 
3.3%
0.08 91
 
3.2%
0.04 86
 
3.0%
0.05 86
 
3.0%
0.07 81
 
2.8%
0.03 78
 
2.7%
0.12 77
 
2.7%
0.09 73
 
2.6%
0.1 68
 
2.4%
Other values (116) 1688
59.4%
ValueCountFrequency (%)
0 423
14.9%
0.01 63
 
2.2%
0.02 61
 
2.1%
0.03 78
 
2.7%
0.04 86
 
3.0%
0.05 86
 
3.0%
0.06 93
 
3.3%
0.07 81
 
2.8%
0.08 91
 
3.2%
0.09 73
 
2.6%
ValueCountFrequency (%)
5.06 1
< 0.1%
3.53 1
< 0.1%
2.72 1
< 0.1%
2.37 1
< 0.1%
2.35 2
0.1%
2.17 1
< 0.1%
1.83 1
< 0.1%
1.48 1
< 0.1%
1.47 1
< 0.1%
1.45 1
< 0.1%

Interactions

2025-07-06T10:23:12.930960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:09.925321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:13.764579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:20.460948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:27.457708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:34.546994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:41.272970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:48.034339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:54.728982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:01.017797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:07.815254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:14.081739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:20.419548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:27.459922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:33.775962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:40.105079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:46.665827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:53.870820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:00.047914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:06.648992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:13.034982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:19.491132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:26.648001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:33.275542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:39.711348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:46.193326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:52.517921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:59.106835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:06.486989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:13.142014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:10.008841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:13.978055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:20.694448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:27.687393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:34.770403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:41.489368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:48.255820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:54.938798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:01.225663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:08.037317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:14.283667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:20.641335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:27.673307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:33.986105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:40.323192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:46.871445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:54.095424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:00.270424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:06.892677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:13.246843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:19.700542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:26.867798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:33.489260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:39.930864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:46.401829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2025-07-06T10:21:58.572831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:05.070770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:11.495944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:17.954862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:25.125067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:31.735992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:38.156281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:44.658100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:50.988856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:57.452654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:04.929486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:11.383338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:18.155715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:12.293231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:19.114191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:26.077793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:33.140137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:39.910276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:46.699266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:53.373769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:59.717432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:06.488924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:12.787472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:19.058323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:26.100962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:32.464721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:38.812708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:45.312701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:52.469986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:58.787409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:05.301018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:11.715780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:18.182827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:25.349888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:31.954192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:38.370906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:44.866636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:51.220913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:57.672513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:05.155950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:11.603132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:18.395701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:12.672437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:19.352383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:26.307288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:33.390401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:40.147069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:46.923921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:53.597736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:59.936159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:06.708521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:13.016138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:19.270708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:26.342731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:32.685493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:39.026274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:45.539971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:52.705919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:58.995553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:05.520348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:11.933286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:18.387736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:25.560399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:32.175229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:38.582150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:45.097857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:51.457638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:57.888302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:05.391149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:11.839587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:18.613859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:12.906469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:19.569027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:26.530396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:33.617979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:40.371445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:47.126610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:53.827730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:00.158384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:06.942857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:13.224146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:19.552385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:26.563626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:32.899933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:39.232293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:45.760195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:52.952005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:59.201126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:05.751928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:12.154412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:18.617660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:25.777111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:32.393712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:38.809668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:45.315846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:51.664110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:58.107830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:05.607924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:12.049082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:18.835437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:13.114640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:19.797729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:26.758805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:33.847700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:40.597145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:47.360421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:54.047223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:00.374447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:07.155332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:13.439302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:19.776537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:26.787959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:33.106053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:39.454035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:45.992633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:53.205359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:59.413895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:05.972581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:12.370029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:18.835735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:26.004772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:32.610574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:39.025190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:45.534029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:51.873468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:58.336882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:05.827358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:12.266384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:19.048421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:13.338566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:20.021820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:26.985601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:34.069616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:40.825985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:47.592769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:54.276575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:00.586046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:07.385621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:13.649047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:19.980998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:27.011013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:33.335389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:39.673512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:46.215627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:53.428294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:59.627548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:06.196694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:12.588071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:19.046543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:26.223114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:32.842508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:39.253019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:45.747668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:52.095863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:58.667033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:06.045873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:12.498431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:19.267913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:13.543545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:20.244919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:27.225962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:34.310525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:41.045295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:47.820981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:20:54.495306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:00.798945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:07.590760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:13.870070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:20.192522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:27.230944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:33.554832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:39.890255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:46.438105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:53.641920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:21:59.843386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:06.414673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:12.807296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:19.272696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:26.426818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:33.055412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:39.489595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:45.971155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:52.308331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:22:58.881742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:06.271324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2025-07-06T10:23:12.706197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2025-07-06T10:23:44.969273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
AgeAssistsAssistsPer90CompCrdRCrdYExpAssistsExpAssistsPer90ExpGoalsExpGoalsAndAssistsPer90ExpGoalsPer90GoalsGoalsAndAssistsGoalsAndAssistsPer90GoalsPer90MPMinMinutesPer90NPExpGoalsNPExpGoalsAndAssistsNPExpGoalsAndAssistsPer90NPExpGoalsPer90NPGoalsAndAssistsPer90NPGoalsPer90NonPenaltyGoalsPenaltiesAttemptedPenaltiesScoredPosPrgCPrgPPrgRStarts
Age1.0000.1060.0810.0660.0620.1900.1480.0550.1180.0070.0000.0800.1180.0700.0540.2410.2770.2780.1080.141-0.002-0.0130.0610.0380.0650.1120.1070.0730.0810.1990.0720.274
Assists0.1061.0000.9540.0220.0190.4140.8140.6450.6470.5220.4180.5740.8520.7520.4930.6010.5420.5420.6440.7670.5180.4080.7540.4830.5640.3050.2820.0870.6880.6020.7130.536
AssistsPer900.0810.9541.0000.0000.0000.3090.7480.6790.5860.5550.4360.5130.7960.7870.4770.4730.3970.3970.5830.6970.5540.4290.7900.4650.5020.2680.2470.1320.5990.4890.6510.389
Comp0.0660.0220.0001.0000.000-0.022-0.027-0.030-0.033-0.035-0.030-0.028-0.027-0.041-0.032-0.006-0.016-0.016-0.032-0.031-0.036-0.030-0.042-0.033-0.029-0.015-0.0110.0390.009-0.025-0.024-0.016
CrdR0.0620.0190.0000.0001.0000.2590.1150.0270.1280.0050.0220.0910.1060.0550.0580.1730.1920.1930.1290.1300.0050.0220.0540.0590.0900.0140.0100.0550.1330.1950.0710.196
CrdY0.1900.4140.309-0.0220.2591.0000.5280.2320.5050.1430.1660.3910.4770.3050.2820.6960.7070.7070.5040.5440.1370.1580.3030.2800.3870.1270.1160.0830.5620.7000.4380.697
ExpAssists0.1480.8140.748-0.0270.1150.5281.0000.8340.7750.6510.5090.6590.8320.7160.5760.7220.6480.6480.7720.9250.6480.4980.7140.5660.6480.3120.2890.1000.8580.7540.8630.637
ExpAssistsPer900.0550.6450.679-0.0300.0270.2320.8341.0000.5940.8020.5610.5010.6400.6720.5080.3750.2550.2550.5890.7400.8040.5540.6710.4950.4900.2410.2230.1020.6360.4480.7280.238
ExpGoals0.1180.6470.586-0.0330.1280.5050.7750.5941.0000.7450.8150.8420.8520.7740.7880.6740.5820.5820.9950.9430.7340.8020.7640.7720.8270.4190.3840.1700.7600.6600.7970.566
ExpGoalsAndAssistsPer900.0070.5220.555-0.0350.0050.1430.6510.8020.7451.0000.9050.6180.6470.7250.6610.2860.1340.1340.7380.7530.9970.8970.7170.6440.6030.3570.3260.1580.5220.2920.6820.111
ExpGoalsPer900.0000.4180.436-0.0300.0220.1660.5090.5610.8150.9051.0000.6640.6150.6820.7060.2900.1500.1500.8080.7110.8980.9930.6720.6890.6480.3710.3390.1310.4680.2770.6130.126
Goals0.0800.5740.513-0.0280.0910.3910.6590.5010.8420.6180.6641.0000.8850.8280.9560.5700.4910.4910.8350.7980.6070.6480.8190.9450.9880.4270.4010.1440.6240.5130.6780.481
GoalsAndAssists0.1180.8520.796-0.0270.1060.4770.8320.6400.8520.6470.6150.8851.0000.9200.8250.6770.6000.6000.8470.8960.6380.6010.9160.8130.8730.3970.3720.1410.7480.6480.7900.591
GoalsAndAssistsPer900.0700.7520.787-0.0410.0550.3050.7160.6720.7740.7250.6820.8280.9201.0000.8680.4810.3760.3760.7680.7940.7190.6720.9950.8540.8160.3660.3460.1950.6070.4580.7060.361
GoalsPer900.0540.4930.477-0.0320.0580.2820.5760.5080.7880.6610.7060.9560.8250.8681.0000.4440.3440.3440.7800.7260.6510.6930.8580.9860.9440.3980.3770.1760.5280.3860.6190.329
MP0.2410.6010.473-0.0060.1730.6960.7220.3750.6740.2860.2900.5700.6770.4810.4441.0000.9370.9370.6750.7400.2800.2820.4800.4400.5660.2420.2230.0610.7220.7660.6370.913
Min0.2770.5420.397-0.0160.1920.7070.6480.2550.5820.1340.1500.4910.6000.3760.3440.9371.0001.0000.5830.6500.1270.1400.3740.3420.4880.2170.2030.0760.6630.7730.5210.992
MinutesPer900.2780.5420.397-0.0160.1930.7070.6480.2550.5820.1340.1500.4910.6000.3760.3440.9371.0001.0000.5830.6500.1270.1400.3740.3430.4880.2170.2030.0760.6630.7730.5210.992
NPExpGoals0.1080.6440.583-0.0320.1290.5040.7720.5890.9950.7380.8080.8350.8470.7680.7800.6750.5830.5831.0000.9440.7350.8070.7660.7770.8310.3610.3290.1730.7610.6570.7980.567
NPExpGoalsAndAssists0.1410.7670.697-0.0310.1300.5440.9250.7400.9430.7530.7110.7980.8960.7940.7260.7400.6500.6500.9441.0000.7490.7050.7910.7190.7900.3670.3360.1540.8490.7350.8810.636
NPExpGoalsAndAssistsPer90-0.0020.5180.554-0.0360.0050.1370.6480.8040.7340.9970.8980.6070.6380.7190.6510.2800.1270.1270.7350.7491.0000.9000.7160.6430.6000.3020.2750.1480.5200.2860.6790.103
NPExpGoalsPer90-0.0130.4080.429-0.0300.0220.1580.4980.5540.8020.8970.9930.6480.6010.6720.6930.2820.1400.1400.8070.7050.9001.0000.6700.6900.6460.2970.2690.1100.4620.2650.6080.117
NPGoalsAndAssistsPer900.0610.7540.790-0.0420.0540.3030.7140.6710.7640.7170.6720.8190.9160.9950.8580.4800.3740.3740.7660.7910.7160.6701.0000.8580.8190.3150.2900.1950.6070.4560.7050.359
NPGoalsPer900.0380.4830.465-0.0330.0590.2800.5660.4950.7720.6440.6890.9450.8130.8540.9860.4400.3420.3430.7770.7190.6430.6900.8581.0000.9570.3140.2840.1690.5250.3790.6150.329
NonPenaltyGoals0.0650.5640.502-0.0290.0900.3870.6480.4900.8270.6030.6480.9880.8730.8160.9440.5660.4880.4880.8310.7900.6000.6460.8190.9571.0000.3520.3180.1510.6200.5050.6730.479
PenaltiesAttempted0.1120.3050.268-0.0150.0140.1270.3120.2410.4190.3570.3710.4270.3970.3660.3980.2420.2170.2170.3610.3670.3020.2970.3150.3140.3521.0000.9150.0980.2440.1860.3140.217
PenaltiesScored0.1070.2820.247-0.0110.0100.1160.2890.2230.3840.3260.3390.4010.3720.3460.3770.2230.2030.2030.3290.3360.2750.2690.2900.2840.3180.9151.0000.0920.2260.1750.2870.202
Pos0.0730.0870.1320.0390.0550.0830.1000.1020.1700.1580.1310.1440.1410.1950.1760.0610.0760.0760.1730.1540.1480.1100.1950.1690.1510.0980.0921.0000.010-0.0580.100-0.075
PrgC0.0810.6880.5990.0090.1330.5620.8580.6360.7600.5220.4680.6240.7480.6070.5280.7220.6630.6630.7610.8490.5200.4620.6070.5250.6200.2440.2260.0101.0000.8260.8860.654
PrgP0.1990.6020.489-0.0250.1950.7000.7540.4480.6600.2920.2770.5130.6480.4580.3860.7660.7730.7730.6570.7350.2860.2650.4560.3790.5050.1860.175-0.0580.8261.0000.6570.767
PrgR0.0720.7130.651-0.0240.0710.4380.8630.7280.7970.6820.6130.6780.7900.7060.6190.6370.5210.5210.7980.8810.6790.6080.7050.6150.6730.3140.2870.1000.8860.6571.0000.508
Starts0.2740.5360.389-0.0160.1960.6970.6370.2380.5660.1110.1260.4810.5910.3610.3290.9130.9920.9920.5670.6360.1030.1170.3590.3290.4790.2170.202-0.0750.6540.7670.5081.000

Missing values

2025-07-06T10:23:19.710152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-06T10:23:20.724201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

PlayerNationPosSquadCompAgeMPStartsMinMinutesPer90GoalsAssistsGoalsAndAssistsNonPenaltyGoalsPenaltiesScoredPenaltiesAttemptedCrdYCrdRExpGoalsNPExpGoalsExpAssistsNPExpGoalsAndAssistsPrgCPrgPPrgRGoalsPer90AssistsPer90GoalsAndAssistsPer90NPGoalsPer90NPGoalsAndAssistsPer90ExpGoalsPer90ExpAssistsPer90ExpGoalsAndAssistsPer90NPExpGoalsPer90NPExpGoalsAndAssistsPer90
0Aaron CiammaglichellaITAMFTorinoSerie A191010.0000000000.00.00.00.00000.000.000.000.000.000.000.000.000.000.00
1Aaron CresswellENGDFWest HamPremier League3418108249.2000000300.20.21.31.663640.000.000.000.000.000.030.150.170.030.17
2Aaron MaloudaFRAFWLilleLigue 1181020.0000000000.00.00.00.00000.000.000.000.000.000.000.000.000.000.00
3Aaron RamsdaleENGGKSouthamptonPremier League263030270030.0000000200.00.00.00.00000.000.000.000.000.000.000.000.000.000.00
4Aaron Wan-BissakaENGDFWest HamPremier League263635315435.0257200101.21.23.54.71101491670.060.140.200.060.200.030.100.140.030.14
5Aarón MartínESPDFGenoaSerie A273635308534.3088000500.90.95.56.450901080.000.230.230.000.230.030.160.190.030.19
6Abakar SyllaCIVDFStrasbourgLigue 121211095010.6101100210.40.40.10.502130.090.000.090.090.090.040.010.050.040.05
7Abdallah SimaSENFW,MFBrestLigue 1232714123813.8729700205.95.91.06.93624920.510.150.650.510.650.430.070.500.430.50
8Abde EzzalzouliMARFW,MFBetisLa Liga223223198422.0224201208.07.22.09.3117682150.090.090.180.090.180.360.090.460.330.42
9Abdel AbqarMARDFAlavésLa Liga252929246327.40110001300.90.90.31.2167940.000.040.040.000.040.030.010.040.030.04
PlayerNationPosSquadCompAgeMPStartsMinMinutesPer90GoalsAssistsGoalsAndAssistsNonPenaltyGoalsPenaltiesScoredPenaltiesAttemptedCrdYCrdRExpGoalsNPExpGoalsExpAssistsNPExpGoalsAndAssistsPrgCPrgPPrgRGoalsPer90AssistsPer90GoalsAndAssistsPer90NPGoalsPer90NPGoalsAndAssistsPer90ExpGoalsPer90ExpAssistsPer90ExpGoalsAndAssistsPer90NPExpGoalsPer90NPExpGoalsAndAssistsPer90
2834Óscar TrejoARGMFRayo VallecanoLa Liga361964965.5101100100.60.61.01.61537280.180.000.180.180.180.110.180.280.110.28
2835Óscar ValentínESPMFRayo VallecanoLa Liga293418183520.4000000500.40.40.91.3138680.000.000.000.000.000.020.040.060.020.06
2836Óscar de MarcosESPDFAthletic ClubLa Liga352617156417.4044000001.01.02.63.626102780.000.230.230.000.230.060.150.210.060.21
2837Ørjan NylandNORGKSevillaLa Liga333030267329.7000000200.00.00.30.30100.000.000.000.000.000.000.010.010.000.01
2838Ümit AkdagROUDFToulouseLigue 120965005.6000000200.10.10.10.142990.000.000.000.000.000.010.010.030.010.03
2839Þórir Jóhann HelgasonISLMFLecceSerie A232113115612.8044000001.21.21.12.32038580.000.310.310.000.310.090.090.180.090.18
2840Đorđe PetrovićSRBGKStrasbourgLigue 1243131279031.0000000200.00.00.00.01100.000.000.000.000.000.000.000.000.000.00
2841İlkay GündoğanGERMFManchester CityPremier League333325222324.7167100103.23.23.56.764127960.040.240.280.040.280.130.140.270.130.27
2842Łukasz FabiańskiPOLGKWest HamPremier League391413116012.9000000200.00.00.00.00000.000.000.000.000.000.000.000.000.000.00
2843Łukasz SkorupskiPOLGKBolognaSerie A332727236426.3000000100.00.00.00.00000.000.000.000.000.000.000.000.000.000.00